Graphics processing unit (GPU) programming strategies and trends in GPU computing AR Brodtkorb, TR Hagen, ML Sætra Journal of Parallel and Distributed Computing 73 (1), 4-13, 2013 | 428 | 2013 |
Efficient shallow water simulations on GPUs: Implementation, visualization, verification, and validation AR Brodtkorb, ML Sætra, M Altinakar Computers & Fluids, 2011 | 211 | 2011 |
Shallow water simulations on multiple GPUs M Sætra, A Brodtkorb Applied Parallel and Scientific Computing, 56-66, 2012 | 49 | 2012 |
Efficient GPU-implementation of adaptive mesh refinement for the shallow-water equations ML Sætra, AR Brodtkorb, KA Lie Journal of Scientific Computing 63, 23-48, 2015 | 47 | 2015 |
GPU computing with Python: Performance, energy efficiency and usability HH Holm, AR Brodtkorb, ML Sætra Computation 8 (1), 4, 2020 | 31 | 2020 |
Massively parallel implicit equal-weights particle filter for ocean drift trajectory forecasting HH Holm, ML Sætra, PJ Van Leeuwen Journal of Computational Physics: X 6, 100053, 2020 | 14 | 2020 |
Shallow water simulation on GPUs for sparse domains ML Sætra Numerical Mathematics and Advanced Applications 2011: Proceedings of ENUMATH …, 2012 | 9 | 2012 |
Evaluation of selected finite-difference and finite-volume approaches to rotational shallow-water flow HH Holm, AR Brodtkorb, G Brostrøm, KH Christensen, ML Sætra Global Science Press, 2020 | 8 | 2020 |
Data assimilation for ocean drift trajectories using massive ensembles and GPUs HH Holm, ML Sætra, AR Brodtkorb Finite Volumes for Complex Applications IX-Methods, Theoretical Aspects …, 2020 | 8 | 2020 |
Explicit shallow water simulations on GPUs: Guidelines and best practices AR Brodtkorb, ML Sætra | 8 | 2012 |
Performance and energy efficiency of CUDA and OpenCL for GPU computing using python HH Holm, AR Brodtkorb, ML Sætra Parallel Computing: Technology Trends, 593-604, 2020 | 5 | 2020 |
Bias correction of operational storm surge forecasts using Neural Networks P Tedesco, J Rabault, ML Sætra, NM Kristensen, OJ Aarnes, Ø Breivik, ... Ocean Modelling 188, 102334, 2024 | 4 | 2024 |
Shallow Water Simulations on Graphics Hardware ML Sætra | 4 | 2014 |
Solving systems of hyperbolic PDEs using multiple GPUs ML Saetra | 3 | 2007 |
Erratum to “Efficient shallow water simulations on GPUs: Implementation, visualization, verification and validation”[Comp Fluids 55 (2012) 1–12] AR Brodtkorb, ML Sætra, M Altinakar Computers and Fluids 59, 125, 2012 | 2 | 2012 |
Combining barotropic and baroclinic simplified models for drift trajectory predictions F Beiser, HH Holm, ML Sætra, NM Kristensen, KH Christensen Journal of Operational Oceanography 17 (3), 187-206, 2024 | 1 | 2024 |
Simulating the Euler equations on multiple GPUs using Python AR Brodtkorb, ML Sætra Frontiers in Physics 10, 985440, 2022 | 1 | 2022 |
Data fusion of complementary data sources using Machine Learning enables higher accuracy Solar Resource Maps J Rabault, ML Sætra, A Dobler, S Eastwood, E Berge arXiv preprint arXiv:2501.04381, 2025 | | 2025 |
User manual for the SunPoint solar irradiance map product J Rabault, ML Sætra, A Dobler, S Eastwood, HO Hygen, E Berge | | 2024 |
Simulating the Euler equations on a cluster of GPUs using Python AR Brodtkorb, ML Sætra | | 2022 |